Article
Author: Guarrasi, Valerio ; Rost, Maximilian ; Gettinger, Scott ; Leonetti, Alessandro ; Karapanagiotou, Eleni ; La Cava, Giulia ; Pinato, David J ; Camerini, Andrea ; Landi, Lorenza ; De Giglio, Andrea ; Zarif, Talal El ; Mezquita, Laura ; Signorelli, Diego ; Nana, Frank Aboubakar ; Soda, Paolo ; Santo, Valentina ; Ricciuti, Biagio ; Naidoo, Jarushka ; Kim, So Yeon ; Baena, Javier ; Halmos, Balazs ; Aerts, Joachim Gjv ; Montrone, Michele ; Acker, Fabian ; Di Federico, Alessandro ; Yendamuri, Sai ; Bria, Emilio ; Beninato, Teresa ; Ferrara, Roberto ; Monnet, Isabelle ; Genova, Carlo ; Gorria, Teresa ; Dingemans, Anne-Marie C ; Wakelee, Heather A ; Russano, Marco ; Minuti, Gabriele ; Macerelli, Marianna ; Brunetti, Leonardo ; Tonini, Giuseppe ; Takada, Kazuki ; Giusti, Raffaele ; Majem, Margarita ; Garassino, Marina C ; Cortellini, Alessio ; Naqash, Abdul R ; Josephides, Eleni ; Sebastian, Martin ; Grossi, Francesco ; Jayakrishnan, Ritujith ; Morabito, Alessandro ; Loza, Monica ; Kalvapudi, Sukumar ; Metro, Giulio ; Piedra, Aida ; O'Reilly, David ; Pecci, Federica ; Li, Mingjia ; Biello, Federica ; Caruso, Camillo Maria ; PrelaJ, Arsela ; Tomasik, Bartłomiej ; Nassar, Amin ; Mazzoni, Francesca ; Citarella, Fabrizio ; Vincenzi, Bruno ; Garbo, Edoardo ; Owen, Dwight H ; Abu Hejleh, Taher ; Lo Russo, Giuseppe ; Cortinovis, Diego L ; Cantini, Luca ; Mountzios, Giannis
BACKGROUND:The use of first-line single agent immunotherapy in patients with advanced NSCLC and ECOG PS ≥ 2 remains controversial, as this frail population has been largely excluded from pivotal clinical trials. Real-world evidence suggests that although median survival is poor, a subset of these patients may achieve long-term benefit.
METHODS:We analyzed data from the Pembro-Real 5Y registry, a global real-world dataset with > 5 years follow-up. The cohort included patients with advanced NSCLC, PD-L1 TPS ≥ 50 %, treated with first line pembrolizumab outside of clinical trials. Univariable analyses were conducted to identify descriptive characteristics associated with survival. To address the complexity of long-term outcome prediction, we integrated Elastic Net regression and a transformer-based AI model (NAIM). The Elastic Net model was employed to mitigate collinearity and select relevant prognostic factors, while NAIM was used to explore non-linear, time-dependent interactions between variables. Endpoints included overall survival (OS) and 5-year survival rates.
RESULTS:Out of 1050 patients, 161 patients with ECOG PS ≥ 2 were included, showing a median OS of 5.4 months (95 % CI: 3.8-7.8), and a 5-year survival rate of 13.0 % (95 % CI: 8.1-19.9). Univariable analysis indicated that no single baseline variable was strongly predictive of 5-year survival, except for TMB, KRAS, and BRAF status, which were significantly limited by missingness. Elastic Net identified only two significant predictors of 5-year survival: high TMB (with unstable confidence intervals) and KRAS mutation. NAIM provided a dynamic perspective, confirming that bone metastases and baseline corticosteroid use were strong predictors of early mortality, whereas BMI increase and systemic health markers/host factors (e.g., hypertension and dyslipidemia) gained importance in long-term survivors. However, NAIM exhibited a notable performance drop from training to validation suggesting overfitting and the challenge of modeling long-term outcomes using baseline static variables.
CONCLUSIONS:Despite the overall poor prognosis, a subset of patients with ECOG PS ≥ 2 achieves long-term survival with pembrolizumab monotherapy, indicating that performance status alone should not preclude treatment in all cases. Our analysis highlights the limitations of traditional statistical approaches and AI-driven models in predicting long-term benefit in this heterogeneous population. Future efforts should focus on refining hybrid modeling strategies and incorporating prospective validation to better identify those who may benefit from immunotherapy beyond short-term expectations.